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Top 43 explainable-ai open source projects

global-attribution-mapping
GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
SHAP FOLD
(Explainable AI) - Learning Non-Monotonic Logic Programs From Statistical Models Using High-Utility Itemset Mining
shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
path explain
A repository for explaining feature attributions and feature interactions in deep neural networks.
ddsm-visual-primitives
Using deep learning to discover interpretable representations for mammogram classification and explanation
zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
javaAnchorExplainer
Explains machine learning models fast using the Anchor algorithm originally proposed by marcotcr in 2018
responsible-ai-toolbox
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
dlime experiments
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Transformer-MM-Explainability
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
bert attn viz
Visualize BERT's self-attention layers on text classification tasks
expmrc
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
3D-GuidedGradCAM-for-Medical-Imaging
This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.
XAIatERUM2020
Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
pyCeterisParibus
Python library for Ceteris Paribus Plots (What-if plots)
self critical vqa
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
1-43 of 43 explainable-ai projects